Perspective data management for common features of multiple items

• US 9,442,918 B2
• Filed: 03/24/2015
• Issued: 09/13/2016
• Est. Priority Date: 10/17/2014
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Clark, Adam T., Huebert, Jeffrey K., Payton, Aspen L., Petri, John E.
• Primary Examiner(s): ROBERTS, SHAUN A
• Application Number:
  US14/666,549
• Publication Number:
  US 20160110399A1
• Time in Patent Office: 539 Days
• Field of Search: 704/9, 705/347
• US Class Current: 1/1
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/3329 Natural language query formulation or dialogue systems
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/211 Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

A computer-implemented method of managing perspective data associated with a common feature in items is disclosed. The method can include identifying a common feature in a first item and a second item, the first item having a set of perspective data and establishing a subset of perspective data associated with the common feature. The method can include associating the subset of perspective with the second item. The method can include determining a set of relevancy scores for the subset of perspective data associated with the common feature and establishing a set of relevant perspective data from the subset of perspective data. The set of relevant perspective data can have relevancy scores outside of a relevancy threshold. The method can include associating the set of relevant perspective data with the second item.

Claims

1. A computer-implemented method of managing perspective data associated with a common feature in items, the method comprising:

identifying, by a processor and via a scan of stored data, a common feature in a first item and a second item, the first item having a set of perspective data, the common feature relating a component of the first item with a component of the second item, and wherein the identifying includes;

parsing, using a natural language processing technique configured to analyze semantic and syntactic content, a set of description data associated with the first and second items;

determining, in response to parsing the set of description data, a set of shared characteristics in the set of description data; and

selecting, from the set of shared characteristics, at least one feature as the common feature;

establishing a subset of perspective data associated with the common feature; and

associating the subset of perspective data with the second item.

2. The method of claim 1, further comprising:

determining a set of relevancy scores for the subset of perspective data associated with the common feature;

establishing a set of relevant perspective data from the subset of perspective data, the set of relevant perspective data having relevancy scores outside of a relevancy threshold; and

associating the set of relevant perspective data with the second item.

3. The method of claim 2, wherein:

determining the set of relevancy scores for the subset of perspective data further includes;

parsing, using a natural language processing technique configured to analyze semantic and syntactic content, the subset of perspective data;

calculating, based on syntactic content, semantic content, and metadata for the subset of perspective data, the set of relevancy scores; and

assigning the set of relevancy scores to the subset of perspective data.

4. The method of claim 1, wherein:

determining a set of shared characteristics in the set of description data further includes;

determining, based on semantic information analyzed by the natural language processing technique, that the first item and second item have at least one characteristic which is substantially similar; and

including the at least one characteristic which is substantially similar in the set of shared characteristics.

5. The method of claim 4, wherein:

determining, based on semantic information analyzed by the natural language processing technique, that the first item and second item have at least one characteristic which is substantially similar includes;

mapping a first feature from the first item to a first concept;

mapping a second feature from the second item to a second concept;

determining whether the first concept and second concept are substantially similar; and

determining that the first item and second item have at least one characteristic which is substantially similar in response to determining that the first concept and second concept are substantially similar.

6. The method of claim 5, wherein:

determining whether the first concept and second concept are substantially similar includes;

determining whether the first concept and second concept are the same; and

determining that the first concept and second concept are substantially similar in response to determining that the first concept and second concept are the same.